The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 25, 2024

Filed:

Dec. 27, 2019
Applicant:

Paypal, Inc., San Jose, CA (US);

Inventors:

Todd Clausen, Gilbert, AZ (US);

Kevin Tyers, Chandler, AZ (US);

Nicholas Bailey, Mesa, AZ (US);

Eric Nunes, Scottsdale, AZ (US);

Meethil Vijay Yadav, Phoenix, AZ (US);

Bradley Wardman, Phoenix, AZ (US);

Nathan Pratt, Scottsdale, AZ (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1483 (2013.01); H04L 63/1416 (2013.01); H04L 63/1425 (2013.01); H04L 63/1433 (2013.01); H04L 63/168 (2013.01);
Abstract

A method for phishing detection based on modeling of web page content is discussed. The method includes accessing suspect web page content of a suspect Uniform Resource Locator (URL). The method includes generating an exemplary model based on an exemplary configuration for an indicated domain associated with the suspect URL, where the exemplary model indicates structure and characteristics of an example web page of the indicated domain. The method includes generating a suspect web page model that indicates structure and characteristics of the suspect web page content. The method includes performing scoring functions for the potential phishing web page content based on the suspect web page model, where some of the scoring functions use the exemplary model to perform analysis to generate respective results. The method includes generating a web page content phishing score based on results from the scoring functions.


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